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Ai Platform Engineer Jobs in Renton, WA (NOW HIRING)

AI Engineer L1

Bellevue, WA ยท On-site

$100K - $180K/yr

AI Engineer L1 City: Bellevue State/Province: Washington Posting Start Date: 7/30/26 Wipro Limited ... Enterprise Platform Engineering Python. Experience: 8-10 Years. The expected compensation for this ...

Staff Product Manager, AI Platform

Seattle, WA ยท On-site

$172K - $237K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical ... The AI Platform team builds the infrastructure that powers machine learning and AI at scale on ...

Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build ...

AI Engineer L1

Bellevue, WA ยท On-site

$100 - $180/hr

Own the agentic platform tooling layer designing reusable agent components, managing agent ... Handsโ€‘on experience with Agentic AI frameworks like LangChain, LangGraph, AutoGen, CrewAI ...

New

We are looking for an engineer to build tooling, automation, and analysis capabilities that strengthen our AI inference platform. This role will focus on developing sophisticated performance ...

Core responsibilities As a Principal AI/ML Engineer, you will define and drive implementation ... You will leverage deep expertise in machine learning systems, generative AI, MLOps, and platform ...

You will leverage deep expertise in machine learning systems, generative AI, MLOps, and platform ... Define the enterprise AI/ML engineering vision and implementation strategy spanning the enterprise ...

Staff Product Manager, AI Platform

Seattle, WA ยท On-site +1

$265K - $331K/yr

Today, three engineers are building Eddy without a PM. You'll be the first, building the vision that the team is currently shipping without. You Will * Set & build the AI platform vision . Define ...

As a core technical member of the AI Platforms team, the AI DevOps Engineer drives the engineering, deployment, administration, and quality assurance of AI-powered applications and services across ...

As a core technical member of the AI Platforms team, the AI DevOps Engineer drives the engineering, deployment, administration, and quality assurance of AI-powered applications and services across ...

Showing results 41-60

Ai Platform Engineer information

See Renton, WA salary details

$37

$71

$106

How much do ai platform engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai platform engineer in Renton, WA is $71.94, according to ZipRecruiter salary data. Most workers in this role earn between $56.78 and $83.03 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What job categories do people searching Ai Platform Engineer jobs in Renton, WA look for?

The top searched job categories for Ai Platform Engineer jobs in Renton, WA are:

What cities near Renton, WA are hiring for Ai Platform Engineer jobs?

Cities near Renton, WA with the most Ai Platform Engineer job openings:

Lead Platform Engineer

Bill & Melinda Gates Foundation

Seattle, WA โ€ข On-site

$190.10 - $324.10/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Overview

The Foundation is a large nonprofit fighting poverty, disease, and inequity around the world. We aim to help people live healthy, productive lives regardless of identity or circumstances. We value diversity and offer an exceptional benefits package, including comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contributions, regional holidays, and opportunities to engage in employee communities. We strive to create an environment for employees to thrive personally and professionally.

Responsibilities
  • Lead Platform Engineer: act as a technical leader responsible for architecting, delivering, and evolving complex technology solutions supporting foundation and affiliate staff worldwide. Provide independent, hands-on leadership as a subject matter expert and practice lead; mentor engineers; translate complex problems into actionable, tactical plans; partner across service teams; be accountable for outcomes.
  • Technology & Architecture Leadership: define and evolve multi-year Data & AI platform roadmaps aligned to enterprise architecture, security standards, and business strategies. Understand global business needs, translate requirements into design artifacts, and implement data and AI tooling for the Enterprise Data Platform (EDP). Implement governance controls and security best practices; provide platform architectural leadership and hands-on development of frameworks; guide build vs. buy decisions and ensure alignment with enterprise direction.
  • Solution Delivery & Continuous Improvement: develop design patterns for data and AI applications on EDP, manage a lightweight Data Portal for self-service data cataloging and data sharing; hands-on execution; oversee large multi-team delivery efforts with modern engineering and DevSecOps practices; conduct architectural reviews; champion automation, governance, observability, and operational excellence; pilot emerging technologies and guide their adoption; drive continuous improvement of engineering practices.
  • Service & Portfolio Strategy: partner with service managers and product owners to shape service roadmaps and investment priorities; translate complex system challenges into actionable plans to improve sustainability, lifecycle health, and user experience; contribute to annual planning and resource considerations; align technology with business strategy.
  • Leadership, Influence & Collaboration: serve as a practice lead and mentor; build strong relationships across IT, Business Operations, and programmatic teams; lead cross-functional architecture discussions; communicate complex concepts clearly to technical and non-technical audiences; represent IT in governance forums and cross-team initiatives.
Qualifications
  • Bachelorโ€™s or Masterโ€™s in computer science or related field or equivalent experience.
  • 12+ years of experience in data platforms with focus on advanced analytics, AI/ML infrastructure, data security, and automation.
  • Experience with data platform architecture, processing of unstructured data, and extracting insights; experience with health and life sciences data; proficiency with Databricks, Azure (Data Lake, Azure ML, Event Hubs), Terraform, Snowflake (Cortex, data sharing), and API-driven data platforms.
  • Hands-on experience with Databricks (Lakeflow, Spark, Delta Lake, Unity Catalog), Docker, Kubernetes; API gateways; data cataloging and governance (Collibra); data sharing with internal/external users.
  • Strong understanding of RAG architectures, embeddings, vector databases, document processing/NLP pipelines (OCR, entity extraction, classification); cloud infrastructure (Azure preferred), networking, security, automation, and cost optimization.
  • CI/CD, infrastructure as code, modern version control; programming/scripting in C#/.NET, Python, or PowerShell is desirable.
  • Excellent communication and influencing skills; unrestricted work authorization in the country of employment; no immigration sponsorship is provided.
Salary & Location

The salary range for this role is $190,100 to $294,700 USD. In Seattle and Washington DC offices, the range is $209,100 to $324,100 USD. New hires typically fall within the range minimum to midpoint based on skills and experience.

Hiring Requirements & Inclusion

Employment is contingent upon successful background check. We provide accommodations for candidates with disabilities. We are committed to inclusion and equal opportunity regardless of race, color, age, religion, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, or prior protected activity. The foundation is based in Seattle, Washington, led by CEO Mark Suzman, with Bill Gates and a governing board.

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